{"id":"https://openalex.org/W2967607596","doi":"https://doi.org/10.1145/3325913","title":"Accurate Detection of Road Network Anomaly by Understanding Crowd's Driving Strategies from Human Mobility","display_name":"Accurate Detection of Road Network Anomaly by Understanding Crowd's Driving Strategies from Human Mobility","publication_year":2019,"publication_date":"2019-06-30","ids":{"openalex":"https://openalex.org/W2967607596","doi":"https://doi.org/10.1145/3325913","mag":"2967607596"},"language":"en","primary_location":{"id":"doi:10.1145/3325913","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325913","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101567973","display_name":"Haiquan Wang","orcid":"https://orcid.org/0000-0003-1745-9814"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiquan Wang","raw_affiliation_strings":["College of Software, Beihang University, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Beihang University, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438820","display_name":"Yilin Li","orcid":"https://orcid.org/0000-0002-7378-8615"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Li","raw_affiliation_strings":["College of Software, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320478","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0002-0699-2296"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Liu","raw_affiliation_strings":["Didi Chuxing Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Inc., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012928924","display_name":"Xiang Wen","orcid":"https://orcid.org/0000-0003-0920-8329"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wen","raw_affiliation_strings":["Didi Chuxing Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Inc., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072608526","display_name":"Xiaohu Qie","orcid":"https://orcid.org/0000-0001-6539-1231"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Qie","raw_affiliation_strings":["Didi Chuxing Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Inc., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101567973"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3317,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55087762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410793304443359},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6935367584228516},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6416326761245728},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5570566654205322},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4975021183490753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49160677194595337},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.43974170088768005},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41455674171447754},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34732306003570557},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2551841139793396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18337202072143555},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.11728665232658386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08493742346763611},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0758870542049408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410793304443359},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6935367584228516},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6416326761245728},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5570566654205322},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4975021183490753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49160677194595337},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.43974170088768005},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41455674171447754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34732306003570557},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2551841139793396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18337202072143555},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.11728665232658386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08493742346763611},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0758870542049408},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3325913","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325913","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W168460004","https://openalex.org/W1525147170","https://openalex.org/W1584003909","https://openalex.org/W1624836516","https://openalex.org/W1701831467","https://openalex.org/W1999110238","https://openalex.org/W1999432478","https://openalex.org/W2093855404","https://openalex.org/W2126194848","https://openalex.org/W2144475703","https://openalex.org/W2148959739","https://openalex.org/W2161029186","https://openalex.org/W2163347789","https://openalex.org/W2165849194","https://openalex.org/W2166771065","https://openalex.org/W2339065330","https://openalex.org/W2790829300"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"There":[0],"are":[1],"thousands":[2],"of":[3,58,74,138],"road":[4,18,48,116],"closures":[5,19],"and":[6,20,30,44,67,82,141],"changed":[7],"traffic":[8,21],"rules":[9],"that":[10,128],"impact":[11],"vehicle":[12],"routing":[13],"every":[14],"day.":[15],"Detecting":[16],"the":[17,47,51,56,62,72,78,84,100,109,115,129,133],"rule":[22],"changes":[23],"is":[24],"essential":[25],"for":[26,42],"dynamic":[27],"route":[28],"planning":[29],"navigation":[31],"serving.":[32],"In":[33,50],"this":[34],"article,":[35],"we":[36,54,76,107],"propose":[37],"a":[38,92,122],"driving-behavior":[39],"modeling-based":[40],"method":[41],"accurately":[43],"effectively":[45],"detecting":[46],"anomalies.":[49],"first":[52],"step,":[53],"detect":[55],"areas":[57,90],"anomalies":[59,118],"by":[60],"using":[61],"deviation":[63],"between":[64],"drivers\u2019":[65,79],"actual":[66],"expected":[68],"behaviors.":[69],"To":[70],"discover":[71],"cause":[73],"anomalies,":[75],"explore":[77],"short-term":[80],"destination":[81],"find":[83],"crucial":[85],"link":[86,95],"pairs":[87],"in":[88,136],"anomalous":[89],"through":[91],"novel":[93],"optimized":[94],"entanglement":[96],"search":[97],"algorithm,":[98],"namely,":[99],"Select":[101],"Link":[102],"Entanglements":[103],"(SELES)":[104],"algorithm.":[105],"Finally,":[106],"analyze":[108],"crowd's":[110],"driving":[111],"patterns":[112],"to":[113],"explain":[114],"network":[117],"further.":[119],"Experiments":[120],"on":[121],"very":[123],"large":[124],"GPS":[125],"dataset":[126],"demonstrate":[127],"proposed":[130],"approach":[131],"outperforms":[132],"existing":[134],"methods":[135],"terms":[137],"both":[139],"accuracy":[140],"effectiveness.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
